| Literature DB >> 30756381 |
Christof Schuster1, Dirk Lubbe1.
Abstract
Although a statistical model might fit well to a large proportion of the individuals of a random sample, some individuals might give 'unusual' responses that are not well explained by the hypothesized model. If individual responses are given as continuous response vectors, M-distances can be used to produce real valued indicators of how well an individual's response vector corresponds to a covariance structure implied by a psychometric model. In this note, we focus on the so-called one-factor model. Two M-distances, dsi and dri , which are sensitive to different aspects of the assumed factor model, have been proposed. While one of the M-distances, dri , has been derived based on Bartlett factor scores, in this note we show that the second M-distance, dsi , can be derived in an analogous fashion based on Thomson factor scores.Keywords: M-distances; factor analysis; outliers; robust statistics
Mesh:
Year: 2019 PMID: 30756381 DOI: 10.1111/bmsp.12161
Source DB: PubMed Journal: Br J Math Stat Psychol ISSN: 0007-1102 Impact factor: 3.380